This article examines how politicians communicate about climate change during the 2023 regional elections in Spain, with a particular focus on the radical right-wing party VOX. Drawing on the party's distinctive rhetoric - using terms such as 'eco-dictatorship' - the study explores the intersection of climate discourse with ideologies such as green nationalism and fossil fascism. Using the textual content of political tweets as primary data, the research examines the framing strategies employed by VOX to position climate issues within its broader political agenda between January and June 2023. Theoretically, the paper situates this analysis within emerging debates about the radical right and climate obstruction in a climate-sensitive country, offering insights into how parties politicise climate. Methodologically, we use a range of different machine learning methods for natural language processing - mostly transformer-based deep learning methods for classification - to map the salience attached to environmental issues and the positions taken by parties during the campaign. This work contributes to understanding the politicisation of climate and environmental issues, and issue competition in party political communication.